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"largely incorrect" is correct and usable in written English.
It is generally used to refer to something that is mostly incorrect, but contains some elements of truth. For example, "His argument was largely incorrect, but I could see some elements of truth in it."
Exact(15)
It shows the potential for one little irrelevant, largely incorrect rumor to spark this large explosion of media.
The basic premise of the HapMap — that common diseases were caused by common variations — turned out to be largely incorrect.
He can't just get into the White House and the next day announce a tariff increase, it wouldn't look good," said Pei. Allegations of Chinese currency manipulation are out of date and largely incorrect, according to Pei.
"You're going to go to Europe to drive a rebodied Neon?" a friend who owns a Porsche said with a sniff, recycling a common but largely incorrect assumption about the car's origin.
They argue that the common disease-common variant idea is largely incorrect: natural selection has in fact done far better than expected in eliminating disease-causing variants from the population.
Even small errors in registration can lead to largely incorrect prediction of quality.
Similar(45)
Therefore, the green outline indicates largely correct responses while orange indicates mostly incorrect responses.
You may have heard some misinformed things about WhatsApp in recent years, sparked largely by incorrect and misleading reporting that claimed there was a "backdoor" to allow third parties to read messages.
A number of doom laden, vaguely hysterical and largely factually incorrect short films have been made about the hunt.
This validation experiment suggested that these genome-wide significant TDT results largely reflected incorrect genotype calls (Table S4).
Multiple alignment of all predicted examples revealed length heterogeneity ranging from 34 to 78 residues, with extreme sequence diversity upstream of a carboxyl-terminal 23-amino acid region of extremely strong sequence conservation, suggesting that the extended, unalignable N-terminal regions largely reflect incorrect start site predictions.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com